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HMS: A Predictive Text Entry Method using Bigrams

Publiceringsår: 2003
Språk: Engelska
Sidor: 43-49
Publikation/Tidskrift/Serie: Proceedings of the Workshop on Language Modeling for Text Entry Methods
Dokumenttyp: Konferensbidrag


Due to the emergence of SMS messages, the significance of effective text entry on limited-size keyboards has increased. In this paper, we describe and discuss a new method to enter text more efficiently using a mobile telephone keyboard. This method, which we called

HMS, predicts words from a sequence of keystrokes using a dictionary and a function combining bigram frequencies

and word length.

We implemented the HMS text entry method on a software-simulated mobile telephone keyboard and we compared it

to a widely available commercial system. We trained the language model on a corpus of Swedish news and we evaluated the method. Although the training corpus does not reflect the language used in SMS messages, the results show a decrease by 7 to 13 percent in the number

of keystrokes needed to enter a text. These figures are very encouraging even though the implementation can be optimized in several ways. The HMS text entry method can easily be transferred to other languages.


  • Computer Science


Workshop on Language Modeling for Text Entry Methods, 10th Conference of the European Chapter of the Association of Computational Linguistics

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